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ERDDAP
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Dataset Title: | Dropsonde 1997_2001
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Institution: | NOAA (Dataset ID: dropsonde_1997_2001) |
Information: | Summary ![]() ![]() ![]() |
To view the map, check View : Map of All Related Data above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
Distinct Data
(Metadata)
(Refine the data subset and/or download the data)
tropical_cyclone_name | flight_id |
---|---|
alex | 19980730N1 |
alex | 19980731N1 |
allison | 20010613H1 |
allison | 20010615N1 |
barry | 20010802N1 |
barry | 20010803N1 |
barry | 20010804N1 |
barry | 20010805H1 |
bonnie | 19980820H1 |
bonnie | 19980820I1 |
bonnie | 19980820N1 |
bonnie | 19980821H1 |
bonnie | 19980821N1 |
bonnie | 19980823H1 |
bonnie | 19980823I1 |
bonnie | 19980823N1 |
bonnie | 19980824H1 |
bonnie | 19980824N1 |
bonnie | 19980826H1 |
bonnie | 19980826I1 |
bonnie | 19980828N1 |
bonnie | 19980829H1 |
bonnie | 19980829I1 |
bonnie | 19980829N1 |
bonnie | 19980830H1 |
bonnie | 19980830I1 |
bonnie | 19980830N1 |
bret | 19990820I1 |
bret | 19990821H1 |
bret | 19990821N1 |
bret | 19990822I1 |
chantal | 20010820H1 |
chris | 20000818N1 |
claudette | 19970714N1 |
danny | 19970718I1 |
danny | 19970718N1 |
danny | 19970719H1 |
danny | 19970720H1 |
danny | 19970721H1 |
danny | 19970721I1 |
debby | 20000822N1 |
debby | 20000823N1 |
dennis | 19990823N1 |
dennis | 19990825H1 |
dennis | 19990825N1 |
dennis | 19990826H1 |
dennis | 19990826I1 |
dennis | 19990827I1 |
dennis | 19990827N1 |
dennis | 19990828H1 |
dennis | 19990828N1 |
dennis | 19990829i |
dennis | 19990829N1 |
dennis | 19990830N1 |
earl | 19980901N1 |
earl | 19980902I1 |
erika | 19970904N1 |
erika | 19970905I1 |
erika | 19970905N1 |
erika | 19970907I1 |
erika | 19970908I1 |
erika | 19970913N1 |
erika | 19970914N1 |
erin | 20010910H1 |
floyd | 19990909N1 |
floyd | 19990911H1 |
floyd | 19990911I1 |
floyd | 19990912H1 |
floyd | 19990912N1 |
floyd | 19990913H1 |
floyd | 19990913I1 |
floyd | 19990913N1 |
floyd | 19990914I1 |
floyd | 19990914N1 |
floyd | 19990915I1 |
floyd | 19990915N1 |
floyd | 19990916H1 |
georges | 19980916N1 |
georges | 19980918H1 |
georges | 19980918N1 |
georges | 19980919H1 |
georges | 19980919I1 |
georges | 19980919N1 |
georges | 19980921H1 |
georges | 19980921I1 |
georges | 19980921N1 |
georges | 19980922I1 |
georges | 19980922N1 |
georges | 19980923H1 |
georges | 19980923N1 |
georges | 19980924H1 |
georges | 19980925H1 |
georges | 19980925I1 |
georges | 19980925N1 |
georges | 19980926N1 |
georges | 19980928H1 |
georges | 19980928I1 |
gordon | 20000913N1 |
gordon | 20000914N1 |
humberto | 20010922H1 |
humberto | 20010923H1 |
humberto | 20010923I1 |
humberto | 20010923N1 |
humberto | 20010924H1 |
humberto | 20010924I1 |
humberto | 20010924N1 |
irene | 19991013N1 |
irene | 19991014I1 |
irene | 19991014N1 |
irene | 19991015I1 |
iris | 20011007H1 |
jose | 19991019N1 |
jose | 19991020N1 |
keith | 20001001H1 |
keith | 20001002N1 |
keith | 20001003N1 |
keith | 20001004N1 |
lenny | 19991116I1 |
lenny | 19991116N1 |
lenny | 19991119I1 |
michelle | 20011031N1 |
michelle | 20011101N1 |
michelle | 20011102N1 |
michelle | 20011103H1 |
michelle | 20011103N1 |
michelle | 20011104H1 |
mitch | 19981024N1 |
mitch | 19981025N1 |
mitch | 19981027I1 |
In total, there are 129 rows of distinct combinations of the variables listed above.
All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
Related Data
(Metadata)
(Refine the data subset and/or download the data)
To view the related data, change View : Related Data above.
WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.